Precision livestock farming applied to grazingland monitoring and management: a review

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorBretas, Igor L.-
Autor(es): dc.creatorDubeux Junior, Jose C. B.-
Autor(es): dc.creatorCruz, Priscila J. R.-
Autor(es): dc.creatorOduor, Kenneth T.-
Autor(es): dc.creatorQueiroz, Luana D.-
Autor(es): dc.creatorValente, Domingos S. M.-
Autor(es): dc.creatorChizzotti, Fernanda H. M.-
Data de aceite: dc.date.accessioned2026-02-09T12:31:12Z-
Data de disponibilização: dc.date.available2026-02-09T12:31:12Z-
Data de envio: dc.date.issued2023-10-29-
Data de envio: dc.date.issued2023-10-29-
Data de envio: dc.date.issued2022-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br//handle/1/58485-
Fonte completa do material: dc.identifierhttps://acsess.onlinelibrary.wiley.com/doi/full/10.1002/agj2.21346-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1162917-
Descrição: dc.descriptionTo meet the expected demand for food while protecting animal welfare, environmental sustainability, and profitability, animal production efficiency must improve. Improvements in grazinglands management techniques can impact livestock production efficiency. The current stage of artificial intelligence development, mainly machine learning techniques, remote sensing (RS), and precision agriculture technologies, automatizes data collection and raises the monitoring capacity to support on-farm decision-making. This literature review presents current developments in precision livestock farming (PLF) applied to grazinglands monitoring and management, demonstrates some knowledge gaps, and discusses potential solutions of grazinglands management issues. Although the implementation of precision technologies in grazing systems is advancing rapidly, challenges, such as lack of reliable reference data and low variability of datasets used to calibrate models, are examples of constraints to be addressed in future studies. More effort in terms of relationship strengthening between farmers and researchers, benefits elucidation, cooperation among professionals with different expertise, and software or app development must be directed to make the knowledge accessible and largely implemented in field conditions.-
Idioma: dc.languageen-
Publicador: dc.publisherWiley-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceAgronomy Journal-
Palavras-chave: dc.subjectGrazingland-
Palavras-chave: dc.subjectMachine learning techniques-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectPrecision agriculture-
Palavras-chave: dc.subjectPrecision livestock farming-
Título: dc.titlePrecision livestock farming applied to grazingland monitoring and management: a review-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

Não existem arquivos associados a este item.